CN115825344A - Intelligent waste gas monitoring method and system for chemical enterprises - Google Patents
Intelligent waste gas monitoring method and system for chemical enterprises Download PDFInfo
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Abstract
The invention discloses an intelligent waste gas monitoring method and system for chemical enterprises, and relates to the field of waste gas monitoring, wherein the method comprises the following steps: acquiring enterprise information of a target chemical enterprise; acquiring supervision requirement data and carrying out requirement analysis on the supervision requirement data; acquiring factory layout information and working mode information based on enterprise information, inputting a demand analysis result, the factory layout information and the working mode information into a monitoring planning model, and outputting a monitoring point layout scheme; arranging the exhaust gas monitoring devices based on the monitoring point arrangement scheme; after the layout is finished, matching and monitoring sampling control parameters through working mode information; and controlling the waste gas monitoring device to sample the waste gas of the target chemical enterprise by monitoring the sampling control parameter to obtain a waste gas sampling result. The problem of in the prior art not enough to the exhaust gas monitoring precision of chemical enterprises, and then cause the exhaust gas monitoring effect of chemical enterprises not good, the not high technical problem of exhaust gas monitoring early warning quality is solved.
Description
Technical Field
The invention relates to the field of waste gas monitoring, in particular to an intelligent waste gas monitoring method and system for chemical enterprises.
Background
With the continuous development of chemical enterprises, the diversity of production processes and production products of the chemical enterprises is continuously enhanced, and the exhaust emission condition of the chemical enterprises is continuously developed towards the direction of complication. The traditional waste gas monitoring mode can not meet the requirement of increasingly complex waste gas monitoring of chemical enterprises. The research and design of the method for carrying out optimized monitoring on the waste gas of the chemical enterprises has very important practical significance.
In the prior art, the exhaust gas monitoring accuracy of the chemical enterprises is not enough, and the technical problems of poor exhaust gas monitoring effect and low exhaust gas monitoring early warning quality of the chemical enterprises are caused.
Disclosure of Invention
The application provides an intelligent waste gas monitoring method and system for chemical enterprises. The problem of in the prior art not enough to the exhaust gas monitoring precision of chemical enterprises, and then cause the exhaust gas monitoring effect of chemical enterprises not good, the not high technical problem of exhaust gas monitoring early warning quality is solved. The exhaust gas monitoring accuracy of the chemical enterprises is improved, intelligent and comprehensive exhaust gas monitoring is carried out on the chemical enterprises, the exhaust gas monitoring effect of the chemical enterprises is improved, and the effective and accurate technical effect of exhaust gas monitoring and early warning of the chemical enterprises is achieved.
In view of the above problems, the present application provides an intelligent exhaust gas monitoring method and system for chemical enterprises.
In a first aspect, the present application provides an intelligent exhaust gas monitoring method for a chemical industry enterprise, wherein the method is applied to an intelligent exhaust gas monitoring system for a chemical industry enterprise, and the method includes: connecting the data interaction equipment to a target chemical industry enterprise, and reading and acquiring enterprise information of the target chemical industry enterprise; acquiring supervision requirement data, and performing requirement analysis on the supervision requirement data; acquiring factory layout information and working mode information based on the enterprise information, inputting a demand analysis result, the factory layout information and the working mode information into a monitoring planning model, and outputting a monitoring point layout scheme; the exhaust gas monitoring devices are arranged on the basis of the monitoring point arrangement scheme; after the layout is finished, matching and monitoring sampling control parameters through the working mode information; and controlling the waste gas monitoring device to sample the waste gas of the target chemical enterprise by the monitoring sampling control parameter to obtain a waste gas sampling result.
In a second aspect, the present application further provides an intelligent exhaust gas monitoring system for a chemical industry enterprise, wherein the system includes: the enterprise information reading module is used for connecting the data interaction equipment to a target chemical enterprise and reading enterprise information of the target chemical enterprise; the demand analysis module is used for acquiring and acquiring supervision demand data and performing demand analysis on the supervision demand data; the monitoring point planning module is used for acquiring plant area layout information and working mode information based on the enterprise information, inputting a demand analysis result, the plant area layout information and the working mode information into a monitoring planning model and outputting a monitoring point layout scheme; the device layout module is used for carrying out layout on the waste gas monitoring devices based on the monitoring point layout scheme; the control parameter matching module is used for matching and monitoring sampling control parameters through the working mode information after the layout is finished; and the waste gas sampling module is used for monitoring the sampling control parameters to control the waste gas monitoring device to sample the waste gas of the target chemical enterprise to obtain a waste gas sampling result.
In a third aspect, the present application further provides an electronic device, including: a memory for storing executable instructions; and the processor is used for realizing the intelligent waste gas monitoring method for the chemical enterprises, which is provided by the application, when the processor is used for executing the executable instructions stored in the memory.
In a fourth aspect, the present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the intelligent exhaust gas monitoring method for a chemical industry enterprise provided by the present application.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
reading information of a target chemical industry enterprise through data interaction equipment to obtain enterprise information of the target chemical industry enterprise; the method comprises the steps of performing demand analysis on supervision demand data to obtain a demand analysis result; extracting information based on enterprise information to obtain factory layout information and working mode information; inputting a demand analysis result, factory layout information and working mode information into a monitoring planning model, and outputting a monitoring point layout scheme; arranging the waste gas monitoring devices according to the monitoring point arrangement scheme; after the layout is finished, matching and monitoring sampling control parameters through working mode information; and controlling the waste gas monitoring device to sample the waste gas of the target chemical enterprise by monitoring the sampling control parameter to obtain a waste gas sampling result. The exhaust gas monitoring accuracy of the chemical enterprises is improved, intelligent and comprehensive exhaust gas monitoring is carried out on the chemical enterprises, the exhaust gas monitoring effect of the chemical enterprises is improved, and the effective and accurate technical effect of exhaust gas monitoring and early warning of the chemical enterprises is achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly described below. It is to be expressly understood that the drawings in the following description are directed to only some embodiments of the disclosure and are not intended as limitations of the disclosure.
FIG. 1 is a schematic flow chart of an intelligent exhaust gas monitoring method for a chemical industry enterprise according to the present application;
fig. 2 is a schematic flow chart illustrating regional anomaly early warning according to the exhaust anomaly early warning information in the intelligent exhaust gas monitoring method for the chemical enterprises according to the present application;
FIG. 3 is a schematic structural diagram of an intelligent exhaust gas monitoring system for a chemical industry enterprise according to the present application;
fig. 4 is a schematic structural diagram of an exemplary electronic device of the present application.
Description of the reference numerals: the system comprises an enterprise information reading module 11, a demand analysis module 12, a monitoring point planning module 13, a device layout module 14, a control parameter matching module 15, an exhaust gas sampling module 16, a processor 31, a memory 32, an input device 33 and an output device 34.
Detailed Description
The application provides an intelligent waste gas monitoring method and system for chemical enterprises. The problem of in the prior art not enough to the exhaust gas monitoring precision of chemical enterprises, and then cause the exhaust gas monitoring effect of chemical enterprises not good, the not high technical problem of exhaust gas monitoring early warning quality is solved. The exhaust gas monitoring accuracy of the chemical enterprises is improved, intelligent and comprehensive exhaust gas monitoring is carried out on the chemical enterprises, the exhaust gas monitoring effect of the chemical enterprises is improved, and the effective and accurate technical effect of exhaust gas monitoring and early warning of the chemical enterprises is achieved.
Example one
Referring to fig. 1, the present application provides an intelligent exhaust gas monitoring method for a chemical industry enterprise, wherein the method is applied to an intelligent exhaust gas monitoring system for a chemical industry enterprise, the system is in communication connection with a data interaction device, an exhaust gas monitoring device, and a flow rate measuring device, and the method specifically includes the following steps:
step S100: connecting the data interaction equipment to a target chemical industry enterprise, and reading and acquiring enterprise information of the target chemical industry enterprise;
step S200: acquiring supervision requirement data, and performing requirement analysis on the supervision requirement data;
specifically, information reading is carried out on the target chemical industry enterprises through the data interaction equipment, and enterprise information of the target chemical industry enterprises is obtained. And further, carrying out supervision requirement acquisition on the target chemical enterprises to obtain supervision requirement data, and carrying out requirement analysis on the supervision requirement data to obtain a requirement analysis result. The data interaction device may be any type of device capable of implementing data interaction in the prior art or a combination thereof. The target chemical industry enterprise can be any chemical industry enterprise which uses the intelligent waste gas monitoring system for the chemical industry enterprise to carry out intelligent waste gas monitoring. The enterprise information comprises the plant layout information, the working mode information, the operating range, the operating condition and other enterprise basic parameter information of the target chemical enterprise. The supervision demand data comprises supervision demand parameters such as waste gas monitoring areas, waste gas monitoring types, waste gas monitoring strength and the like of target chemical enterprises. The demand analysis result comprises an exhaust gas monitoring area, an exhaust gas monitoring type, an exhaust gas monitoring quantity, an exhaust gas monitoring concentration range and an exhaust gas monitoring frequency. The technical effect that the enterprise information and the demand analysis result of the target chemical enterprise are obtained by acquiring the information of the target chemical enterprise and laying a foundation for subsequently monitoring the waste gas of the target chemical enterprise is achieved.
Step S300: acquiring factory layout information and working mode information based on the enterprise information, inputting a demand analysis result, the factory layout information and the working mode information into a monitoring planning model, and outputting a monitoring point layout scheme;
step S400: the exhaust gas monitoring devices are arranged on the basis of the monitoring point arrangement scheme;
specifically, factory layout information and working mode information are extracted from enterprise information. And further, inputting a monitoring planning model by taking a demand analysis result, plant layout information and working mode information as input information to obtain a monitoring point layout scheme, and laying the waste gas monitoring devices for the target chemical enterprises according to the monitoring planning model. The factory layout information comprises factory structure composition parameters of a target chemical enterprise, such as factory plane layout, factory equipment composition, factory equipment layout, factory position and area and the like. The working mode information comprises a plurality of production modes of the target chemical enterprise, and data information such as production time, factory equipment control parameters, production ranges and the like corresponding to each production mode in the plurality of production modes. And performing historical data query based on the demand analysis result, the plant layout information and the working mode information to obtain a plurality of historical demand analysis results, a plurality of historical plant layout information and a plurality of historical working mode information, and performing continuous self-training learning on the plurality of historical demand analysis results, the plurality of historical plant layout information and the plurality of historical working mode information to a convergence state to obtain the monitoring planning model. The monitoring planning model comprises an input layer, a hidden layer and an output layer. The monitoring planning model has the functions of intelligently analyzing input demand analysis results, factory layout information and working mode information and planning monitoring points. The monitoring point layout scheme comprises the number and positions of the monitoring points of the target chemical enterprises. The exhaust gas monitoring device can be an exhaust gas monitoring device such as an exhaust gas detector and an exhaust gas monitoring sensor in the prior art. The intelligent analysis of the demand analysis result, the plant layout information and the working mode information is achieved through the monitoring planning model, and an accurate and adaptive monitoring point layout scheme is obtained, so that the technical effect of improving the accuracy of waste gas monitoring on the target chemical enterprises is achieved.
Step S500: after the layout is finished, matching and monitoring sampling control parameters through the working mode information;
further, step S500 of the present application further includes:
step S510: setting monitoring constraint data of a mode based on the demand analysis result;
step S520: acquiring a start-stop time node of a mode based on the working mode information;
step S530: performing operation stability interval evaluation based on the start-stop time node and the mode historical operation data to obtain an operation stability interval evaluation result;
step S540: generating sampling control time data according to the operation stable interval evaluation result and the monitoring constraint data;
specifically, after the layout of the waste gas monitoring device is completed, monitoring constraint data are set according to a demand analysis result based on a plurality of production modes of a target chemical enterprise in the working mode information, and start-stop time nodes are obtained according to the working mode information. Further, mode historical operating data is obtained through historical data query. And performing operation stability interval evaluation based on the start-stop time node and the mode historical operation data to obtain an operation stability interval evaluation result, and generating sampling control time data by combining with monitoring constraint data. The monitoring constraint data comprise waste gas monitoring types and waste gas monitoring concentration ranges corresponding to each production mode in a plurality of production modes of the target chemical enterprises. The start-stop time node comprises a start time node and an end time node corresponding to each production mode in a plurality of production modes of the target chemical enterprise. The mode historical operation data comprises a plurality of historical operation information of the target chemical industry enterprise under a plurality of production modes and a plurality of historical time periods corresponding to the plurality of historical operation information. And the operation stability interval evaluation result comprises a plurality of time periods with stable operation in a time interval formed by the start-stop time nodes. Illustratively, stability evaluation is performed on a plurality of historical operation information in the mode historical operation data to obtain a plurality of stability evaluation coefficients, the stability evaluation coefficients are screened according to a preset stability evaluation coefficient threshold, and a plurality of historical time periods of the historical operation information corresponding to the stability evaluation coefficients meeting the preset stability evaluation coefficient threshold are matched with a time interval formed by start-stop time nodes, so that an operation stability interval evaluation result can be obtained. The sampling control time data comprises an operation stable interval evaluation result, and an exhaust gas monitoring type and an exhaust gas monitoring concentration range which correspond to the operation stable interval evaluation result. The technical effect that sampling control time data are generated by analyzing the working mode information and a monitoring sampling control parameter tamping basis is obtained for follow-up.
Step S550: and taking the sampling control time data as the monitoring sampling control parameter.
Further, step S550 of the present application further includes:
step S551: generating a pretest node according to the sampling control time data;
step S552: controlling the flow velocity measuring device to collect flow velocity data of the monitoring point position through the pretest node to obtain a flow velocity data collection result;
step S553: judging whether the flow velocity fluctuation of the flow velocity data acquisition result in a detection window meets a preset fluctuation threshold value or not;
step S554: when the flow speed fluctuation can meet the preset fluctuation threshold value, obtaining the flow speed average value of the flow speed data acquisition result;
step S555: and generating the monitoring sampling control parameter according to the flow speed average value.
Step S600: and controlling the waste gas monitoring device to sample the waste gas of the target chemical enterprise by monitoring the sampling control parameters to obtain a waste gas sampling result.
Specifically, the sampling control time data is set as the pretest node. And based on the pretest node, acquiring flow speed data of the monitoring point position by using a flow speed measuring device to obtain a flow speed data acquisition result. And further, judging whether the flow velocity fluctuation of the flow velocity data acquisition result in the detection window meets a preset fluctuation threshold value, and if the flow velocity fluctuation meets the preset fluctuation threshold value, carrying out average value calculation on the flow velocity data acquisition result to obtain a flow velocity average value. And then, matching the sampling control time data according to the average value of the flow velocity to obtain monitoring sampling control parameters. And controlling the waste gas monitoring device according to the monitoring sampling control parameters to obtain a waste gas sampling result. The pretest node comprises a plurality of time period information corresponding to the sampling control time data. The flow rate measuring device may be a gas flow rate tester of the prior art. The monitoring point position comprises a layout position of the exhaust gas monitoring device. The flow rate data acquisition result comprises a plurality of gas flow rate parameters corresponding to the positions of monitoring points under the pretest nodes and the corresponding relation between the plurality of gas flow rate parameters and sampling control time data. The detection window comprises a preset determined time interval. For example, the detection window is 30 minutes, 1 hour. The flow rate fluctuation includes a rate of change of the gas flow rate within the detection window as a result of the flow rate data acquisition. The preset fluctuation threshold includes a preset determined gas flow rate change rate threshold. The flow rate average comprises an average of a plurality of gas flow rate parameters in the flow rate data collection. The monitoring sampling control parameters comprise sampling control time data of acquisition time corresponding to the flow velocity average value. The waste gas sampling result includes a plurality of waste gas sampling type information of target chemical industry enterprise to a plurality of waste gas concentration information that a plurality of waste gas sampling type information correspond. The flow velocity measurement analysis is carried out on the sampling control time data, and reliable monitoring sampling control parameters are obtained, so that the technical effects of authenticity and accuracy of waste gas monitoring of target chemical enterprises are improved.
Further, as shown in fig. 2, after step S600, the method further includes:
step S710: performing space area division on the target chemical industry enterprise according to the enterprise information to obtain a space area division result;
step S720: constructing a region early warning threshold value for the space region division result;
step S730: comparing the exhaust gas sampling results through the region early warning threshold value, and generating exhaust gas abnormity early warning information when the exhaust gas sampling results cannot meet the region early warning threshold value;
step S740: and performing regional abnormity early warning according to the exhaust gas abnormity early warning information.
Specifically, space region division is carried out on the target chemical industry enterprises according to enterprise information, and space region division results are obtained. The space area division result comprises a plurality of areas such as a production area, an office area, a smoke exhaust area and a living area in a target chemical enterprise. Then, an area early warning threshold is set based on the space area division result. The region early warning threshold value comprises a plurality of preset and determined region exhaust gas concentration early warning threshold value parameters. The multiple regional exhaust gas concentration early warning threshold parameters have corresponding relations with multiple regions in the space region division result. Further, a plurality of regional exhaust gas concentration early warning threshold parameters in the regional early warning threshold values are compared with a plurality of corresponding exhaust gas concentration information in the exhaust gas sampling results respectively, when any exhaust gas concentration information in the exhaust gas sampling results does not meet the corresponding regional exhaust gas concentration early warning threshold parameters, abnormal exhaust gas early warning information is obtained, and regional abnormal early warning is carried out on a plurality of regions in the space region division results according to the abnormal exhaust gas early warning information. The exhaust gas abnormity early warning information is early warning prompt information used for representing that the exhaust gas concentration information does not meet the corresponding regional exhaust gas concentration early warning threshold parameter. The exhaust gas abnormity early warning information is generated adaptively by comparing the regional early warning threshold value and the exhaust gas sampling result, so that the comprehensiveness of exhaust gas monitoring on target chemical enterprises is improved, and the technical effect of the accuracy of exhaust gas monitoring early warning of the target chemical enterprises is improved.
Further, after step S740, the method further includes:
step S750: acquiring real-time environment data;
step S760: performing regional association influence analysis according to the real-time environment data and the factory layout information to obtain regional association value data;
specifically, regional association influence analysis is performed on real-time environment data and factory layout information to obtain regional association value data. The real-time environment data comprises real-time environment parameter information such as real-time environment temperature, real-time wind direction and real-time wind speed of the target chemical industry enterprise. The area-associated value data includes a plurality of area-associated value information. Each area association value information comprises area association data information such as real-time environment association, position association, layout association, structural composition association and the like between each area and other areas of the target chemical industry enterprise. The technical effects that the regional association influence analysis is carried out on the real-time environment data and the plant layout information to obtain the regional association value data and provide data reference for the subsequent generation of the exhaust gas abnormal source identification are achieved.
Step S770: and identifying the abnormal source of the exhaust gas abnormity early warning information according to the regional associated value data.
Further, step S770 of the present application further includes:
step S771: obtaining abnormal index information of the exhaust gas abnormal early warning information;
step S772: acquiring exhaust gas monitoring index information of the associated region according to the region associated value data;
step S773: judging whether the abnormal index information and the exhaust gas monitoring index information have index consistency or not;
step S774: and when the abnormal index information and the exhaust gas monitoring index information have index consistency, allowing the regional associated value data to carry out exhaust gas abnormal source identification of the exhaust gas abnormal early warning information.
Specifically, abnormal index positioning is performed based on the exhaust gas abnormality warning information, and abnormal index information is obtained. And carrying out relevant regional exhaust gas monitoring index analysis based on the regional relevant value data to obtain exhaust gas monitoring index information. And further, judging whether the abnormal index information and the exhaust gas monitoring index information have index consistency, and if the abnormal index information and the exhaust gas monitoring index information have index consistency, identifying the exhaust gas abnormality source of the exhaust gas abnormality early warning information based on the regional associated value data. The abnormal index information comprises exhaust gas type information of exhaust gas concentration information which does not meet the regional early warning threshold value and corresponds to the exhaust gas abnormal early warning information. The exhaust gas monitoring index information includes exhaust gas type information having correlation relationships such as real-time environment correlation, position correlation and the like between a plurality of correlation regions corresponding to the region correlation value data. The plurality of association regions include a plurality of regions having an association relationship corresponding to the region association value data. The exhaust gas abnormity source identification of the exhaust gas abnormity early warning information through the regional associated value data is achieved, and the comprehensive technical effect of exhaust gas monitoring of target chemical enterprises is further improved.
Further, after step S600, the method further includes:
step S810: performing mode matching evaluation according to the waste gas sampling result and the working mode information;
step S820: obtaining a matching evaluation result, and generating reference early warning data according to the matching evaluation result;
step S830: and carrying out waste gas abnormity early warning of the target chemical enterprises through the reference early warning data.
Specifically, pattern matching evaluation is carried out based on the waste gas sampling result and the working pattern information, a matching evaluation result is obtained, reference early warning data is generated according to the matching evaluation result, and waste gas abnormity early warning of a target chemical industry enterprise is carried out according to the reference early warning data. The matching evaluation result comprises a plurality of matching evaluation coefficients, and the plurality of matching evaluation coefficients comprise matching degree parameter information between the exhaust gas sampling result and the production mode, the production time and the plant equipment control parameters of the working mode information. Illustratively, a plurality of matching evaluation coefficients in the matching evaluation result are compared with a preset matching evaluation coefficient threshold, and when the matching evaluation coefficients do not meet the preset matching evaluation coefficient threshold, reference early warning data is generated, wherein the reference early warning data is information for early warning of production modes, production time and plant area equipment control parameters corresponding to the matching evaluation coefficients which do not meet the preset matching evaluation coefficient threshold. The exhaust gas abnormity early warning of the target chemical enterprises is carried out by referring to the early warning data, and the technical effect of improving the quality of the exhaust gas abnormity early warning of the target chemical enterprises is achieved.
In summary, the intelligent exhaust gas monitoring method for the chemical enterprises provided by the application has the following technical effects:
1. reading information of a target chemical industry enterprise through data interaction equipment to obtain enterprise information of the target chemical industry enterprise; the method comprises the steps of performing demand analysis on supervision demand data to obtain a demand analysis result; extracting information based on enterprise information to obtain factory layout information and working mode information; inputting a demand analysis result, factory layout information and working mode information into a monitoring planning model, and outputting a monitoring point layout scheme; arranging the waste gas monitoring devices according to the monitoring point arrangement scheme; after the layout is finished, matching and monitoring sampling control parameters through working mode information; and controlling the waste gas monitoring device to sample the waste gas of the target chemical enterprise by monitoring the sampling control parameter to obtain a waste gas sampling result. The exhaust gas monitoring accuracy of the chemical enterprises is improved, intelligent and comprehensive exhaust gas monitoring is carried out on the chemical enterprises, the exhaust gas monitoring effect of the chemical enterprises is improved, and the effective and accurate technical effect of exhaust gas monitoring and early warning of the chemical enterprises is achieved.
2. The demand analysis result, the plant area layout information and the working mode information are intelligently analyzed through the monitoring planning model, and an accurate and adaptive monitoring point layout scheme is obtained, so that the accuracy of waste gas monitoring on a target chemical enterprise is improved.
3. Through comparing regional early warning threshold value, waste gas sampling result, the unusual early warning information of waste gas is generated to adaptability to improve the comprehensiveness of carrying out waste gas monitoring to target chemical industry enterprise, improve the accuracy of target chemical industry enterprise's waste gas monitoring early warning.
Example two
Based on the same inventive concept as the method for intelligently monitoring the waste gas in the chemical industry enterprises in the previous embodiments, the present invention further provides an intelligent waste gas monitoring system in the chemical industry enterprises, the system is in communication connection with the data interaction device, the waste gas monitoring device, and the flow rate measuring device, please refer to fig. 3, the system includes:
the enterprise information reading module 11 is used for connecting the data interaction device to a target chemical industry enterprise and reading enterprise information of the target chemical industry enterprise;
the demand analysis module 12, the demand analysis module 12 is used for acquiring and acquiring supervision demand data, and performing demand analysis on the supervision demand data;
the monitoring point planning module 13 is configured to obtain plant layout information and working mode information based on the enterprise information, input a demand analysis result, the plant layout information, and the working mode information into a monitoring planning model, and output a monitoring point layout scheme;
a device layout module 14, wherein the device layout module 14 is used for performing layout of the exhaust gas monitoring device based on the monitoring point layout scheme;
the control parameter matching module 15 is used for matching and monitoring sampling control parameters through the working mode information after the layout is finished;
and the waste gas sampling module 16 is used for monitoring the sampling control parameters to control the waste gas monitoring device to sample the waste gas of the target chemical enterprise to obtain a waste gas sampling result.
Further, the system further comprises:
a constraint data determination module for setting monitoring constraint data of a mode based on the demand analysis result;
a start-stop time node determination module, configured to obtain a start-stop time node of a mode based on the working mode information;
the operation stable interval evaluation module is used for evaluating an operation stable interval based on the start-stop time node and the mode historical operation data to obtain an operation stable interval evaluation result;
the sampling control time data generation module is used for generating sampling control time data according to the operation stable interval evaluation result and the monitoring constraint data;
and the monitoring sampling control parameter determining module is used for taking the sampling control time data as the monitoring sampling control parameter.
Further, the system further comprises:
the pretest node determining module is used for generating a pretest node according to the sampling control time data;
the flow rate data acquisition module is used for controlling the flow rate measurement device to acquire flow rate data of the monitoring point position through the pretest node to acquire a flow rate data acquisition result;
the flow rate fluctuation judging module is used for judging whether the flow rate fluctuation of the flow rate data acquisition result in a detection window meets a preset fluctuation threshold value or not;
the flow rate average value determining module is used for obtaining the flow rate average value of the flow rate data acquisition result when the flow rate fluctuation can meet the preset fluctuation threshold;
a first execution module to generate the monitor sampling control parameter from the flow rate average.
Further, the system further comprises:
the spatial region division module is used for carrying out spatial region division on the target chemical industry enterprises according to the enterprise information to obtain spatial region division results;
the area early warning threshold value construction module is used for constructing an area early warning threshold value for the space area division result;
the second execution module is used for comparing the exhaust gas sampling results through the regional early warning threshold value, and generating exhaust gas abnormity early warning information when the exhaust gas sampling results cannot meet the regional early warning threshold value;
and the regional abnormity early warning module is used for carrying out regional abnormity early warning according to the waste gas abnormity early warning information.
Further, the system further comprises:
the environment data acquisition module is used for acquiring and obtaining real-time environment data;
the regional associated value data acquisition module is used for carrying out regional associated influence analysis according to the real-time environment data and the factory layout information to acquire regional associated value data;
and the exhaust gas abnormity source identification module is used for identifying the exhaust gas abnormity source of the exhaust gas abnormity early warning information according to the region associated value data.
Further, the system further comprises:
an abnormality index information determination module for obtaining abnormality index information of the exhaust gas abnormality warning information;
the third execution module is used for obtaining exhaust gas monitoring index information of the associated region according to the region associated value data;
the index consistency judging module is used for judging whether the abnormal index information and the exhaust gas monitoring index information have index consistency or not;
a fourth execution module, configured to permit the regional associated value data to perform the exhaust gas abnormality source identification of the exhaust gas abnormality warning information when the abnormality index information and the exhaust gas monitoring index information have index consistency.
Further, the system further comprises:
the pattern matching evaluation module is used for carrying out pattern matching evaluation according to the waste gas sampling result and the working mode information;
the reference early warning data generation module is used for obtaining a matching evaluation result and generating reference early warning data according to the matching evaluation result;
and the exhaust gas abnormity early warning module is used for carrying out exhaust gas abnormity early warning of the target chemical enterprises through the reference early warning data.
The intelligent waste gas monitoring system for the chemical enterprises, provided by the embodiment of the invention, can execute the intelligent waste gas monitoring method for the chemical enterprises, provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Each included module is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be realized; in addition, the specific names of the functional modules are only for convenience of distinguishing from each other and are not used for limiting the protection scope of the present invention.
EXAMPLE III
Fig. 4 is a schematic structural diagram of an electronic device provided in the third embodiment of the present invention, and shows a block diagram of an exemplary electronic device suitable for implementing the embodiment of the present invention. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention. As shown in fig. 4, the electronic device includes a processor 31, a memory 32, an input device 33, and an output device 34; the number of the processors 31 in the electronic device may be one or more, one processor 31 is taken as an example in fig. 4, the processor 31, the memory 32, the input device 33 and the output device 34 in the electronic device may be connected by a bus or in other manners, and the connection by the bus is taken as an example in fig. 4.
The memory 32 is a computer readable storage medium, and can be used for storing software programs, computer executable programs, and modules, such as program instructions/modules corresponding to an intelligent exhaust gas monitoring method for a chemical industry enterprise according to an embodiment of the present invention. The processor 31 executes various functional applications and data processing of the computer device by running software programs, instructions and modules stored in the memory 32, so as to implement the above-mentioned intelligent exhaust gas monitoring method for chemical enterprises.
The application provides an intelligent waste gas monitoring method for a chemical industry enterprise, wherein the method is applied to an intelligent waste gas monitoring system for the chemical industry enterprise, and the method comprises the following steps: reading information of a target chemical industry enterprise through data interaction equipment to obtain enterprise information of the target chemical industry enterprise; the method comprises the steps of performing demand analysis on supervision demand data to obtain a demand analysis result; extracting information based on enterprise information to obtain factory layout information and working mode information; inputting a demand analysis result, factory layout information and working mode information into a monitoring planning model, and outputting a monitoring point layout scheme; arranging the waste gas monitoring devices according to the monitoring point arrangement scheme; after the layout is finished, matching and monitoring sampling control parameters through working mode information; and controlling the waste gas monitoring device to sample the waste gas of the target chemical enterprise by monitoring the sampling control parameter to obtain a waste gas sampling result. The problem of in the prior art not enough to the exhaust gas monitoring precision of chemical enterprises, and then cause the exhaust gas monitoring effect of chemical enterprises not good, the not high technical problem of exhaust gas monitoring early warning quality is solved. The exhaust gas monitoring accuracy of the chemical enterprises is improved, intelligent and comprehensive exhaust gas monitoring is carried out on the chemical enterprises, the exhaust gas monitoring effect of the chemical enterprises is improved, and the effective and accurate technical effect of exhaust gas monitoring and early warning of the chemical enterprises is achieved.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. The intelligent waste gas monitoring method for the chemical enterprises is applied to an intelligent waste gas monitoring system, the intelligent waste gas monitoring system is in communication connection with data interaction equipment and a waste gas monitoring device, and the method comprises the following steps:
connecting the data interaction equipment to a target chemical industry enterprise, and reading and acquiring enterprise information of the target chemical industry enterprise;
acquiring supervision requirement data, and performing requirement analysis on the supervision requirement data;
acquiring factory layout information and working mode information based on the enterprise information, inputting a demand analysis result, the factory layout information and the working mode information into a monitoring planning model, and outputting a monitoring point layout scheme;
the exhaust gas monitoring devices are arranged on the basis of the monitoring point arrangement scheme;
after the layout is finished, matching and monitoring sampling control parameters through the working mode information;
and controlling the waste gas monitoring device to sample the waste gas of the target chemical enterprise by the monitoring sampling control parameter to obtain a waste gas sampling result.
2. The method of claim 1, wherein the method further comprises:
setting monitoring constraint data of a mode based on the demand analysis result;
acquiring a start-stop time node of a mode based on the working mode information;
performing operation stability interval evaluation based on the start-stop time node and the mode historical operation data to obtain an operation stability interval evaluation result;
generating sampling control time data according to the operation stable interval evaluation result and the monitoring constraint data;
and taking the sampling control time data as the monitoring sampling control parameter.
3. The method of claim 2, wherein the intelligent exhaust monitoring system is communicatively coupled to a flow rate measurement device, the method further comprising:
generating a pretest node according to the sampling control time data;
controlling the flow velocity measuring device to collect flow velocity data of the monitoring point position through the pretest node to obtain a flow velocity data collection result;
judging whether the flow velocity fluctuation of the flow velocity data acquisition result in a detection window meets a preset fluctuation threshold value or not;
when the flow velocity fluctuation can meet the preset fluctuation threshold value, obtaining a flow velocity average value of the flow velocity data acquisition result;
and generating the monitoring sampling control parameter according to the flow speed average value.
4. The method of claim 1, wherein the method further comprises:
performing space region division on the target chemical industry enterprise according to the enterprise information to obtain a space region division result;
constructing a region early warning threshold value for the space region division result;
comparing the exhaust gas sampling results through the region early warning threshold value, and generating exhaust gas abnormity early warning information when the exhaust gas sampling results cannot meet the region early warning threshold value;
and performing regional abnormity early warning according to the exhaust gas abnormity early warning information.
5. The method of claim 4, wherein the method further comprises:
acquiring real-time environment data;
performing regional association influence analysis according to the real-time environment data and the factory layout information to obtain regional association value data;
and identifying the abnormal source of the exhaust gas abnormity early warning information according to the regional associated value data.
6. The method of claim 5, wherein the method further comprises:
acquiring abnormal index information of the exhaust gas abnormal early warning information;
acquiring exhaust gas monitoring index information of the associated region according to the region associated value data;
judging whether the abnormal index information and the exhaust gas monitoring index information have index consistency;
and when the abnormal index information and the exhaust gas monitoring index information have index consistency, allowing the regional associated value data to carry out exhaust gas abnormal source identification of the exhaust gas abnormal early warning information.
7. The method of claim 1, wherein the method further comprises:
performing mode matching evaluation according to the waste gas sampling result and the working mode information;
obtaining a matching evaluation result, and generating reference early warning data according to the matching evaluation result;
and carrying out waste gas abnormity early warning of the target chemical enterprises through the reference early warning data.
8. The utility model provides an exhaust gas intelligent monitoring system for chemical industry enterprise, its characterized in that, the system and data interaction equipment, exhaust gas monitoring device communication connection, the system includes:
the enterprise information reading module is used for connecting the data interaction equipment to a target chemical enterprise and reading enterprise information of the target chemical enterprise;
the demand analysis module is used for acquiring and acquiring supervision demand data and performing demand analysis on the supervision demand data;
the monitoring point planning module is used for acquiring plant area layout information and working mode information based on the enterprise information, inputting a demand analysis result, the plant area layout information and the working mode information into a monitoring planning model and outputting a monitoring point layout scheme;
the device layout module is used for carrying out layout on the waste gas monitoring devices based on the monitoring point layout scheme;
the control parameter matching module is used for matching and monitoring sampling control parameters through the working mode information after the layout is finished;
and the waste gas sampling module is used for monitoring the sampling control parameters to control the waste gas monitoring device to sample the waste gas of the target chemical enterprise to obtain a waste gas sampling result.
9. An electronic device, characterized in that the electronic device comprises:
a memory for storing executable instructions;
a processor for implementing an intelligent exhaust gas monitoring method for a chemical industry enterprise as claimed in any one of claims 1 to 7 when executing the executable instructions stored in the memory.
10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements an intelligent exhaust gas monitoring method for a chemical industry enterprise as recited in any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116720788A (en) * | 2023-08-07 | 2023-09-08 | 山东神光航天科技有限公司 | Air quality intelligent assessment method and system based on multi-source data |
| CN116773238A (en) * | 2023-06-16 | 2023-09-19 | 南方电网调峰调频发电有限公司检修试验分公司 | Fault monitoring method and system based on industrial data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116773238A (en) * | 2023-06-16 | 2023-09-19 | 南方电网调峰调频发电有限公司检修试验分公司 | Fault monitoring method and system based on industrial data |
| CN116773238B (en) * | 2023-06-16 | 2024-01-19 | 南方电网调峰调频发电有限公司检修试验分公司 | Fault monitoring method and system based on industrial data |
| CN116720788A (en) * | 2023-08-07 | 2023-09-08 | 山东神光航天科技有限公司 | Air quality intelligent assessment method and system based on multi-source data |
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